KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors

Research article (2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017) · cited 155× · AI/ML
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KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors

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KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. Retrieved May 24, 2026, from https://4ort.xyz/entity/kepler-keypoint-and-pose-estimation-of-unconstrained-faces-by-learning-efficient-h-cnn-regressors
MLA “KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/kepler-keypoint-and-pose-estimation-of-unconstrained-faces-by-learning-efficient-h-cnn-regressors.
BibTeX @misc{4ortxyz_kepler-keypoint-and-pose-estimation-of-unconstrained-faces-by-learning-efficient-h-cnn-regressors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors}}, year = {2026}, url = {https://4ort.xyz/entity/kepler-keypoint-and-pose-estimation-of-unconstrained-faces-by-learning-efficient-h-cnn-regressors}, note = {Accessed: 2026-05-24}}
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